2025-09-19 –, Hewitt Boardroom (Capacity 35)
The project aims to assess the feasibility and effectiveness of an AI-enabled chatbot for mental health detection, employing Large Language Models (LLM), Natural Language Processing (NLP), and Deep Learning models. The web application integrates social attributes to aid users with mental health concerns, offering self-assistance through personalized assessments. The core strategy centers on fostering an "Optimistic Presence" by deploying an AI-driven virtual assistant capable of empathic conversations, active listening, and emotional state analysis. The methodology involves emulating human mental health professionals, assessing conditions through various cues, and offering tailored therapeutic interventions for any stressed out individuals. Integration with health records using Azure PostgreSQL allows collaboration with human providers for comprehensive care. This innovative solution seeks to extend constant virtual AI therapy, revolutionizing mental health support with technology-driven personalized assistance for students, working professionals and many hidden victims of poor mental health.
Beginner - no experience needed
Keerthi is an AI aficionado passion-wise and Data Scientist professionally with a wide range of experience in building LLM applications with different models and researching new fine-tuning methods. I consider myself a Thinktank with industry-ready and domain specific skills to apply and innovate for the betterment of society. I also spoke in various other meetups, podcasts and technical events regarding LLMs and Data Science. My previous talk was in Bangalore, India Techtonic 2.0 event regarding LLM Security. Connect with me to collaborate on various AI projects and participate in Hackathons to build for the society.